Chao Gao



 
 
Personal Information
 
I am an assistant professor in statistics at University of Chicago. I graduated from Yale University. My advisor is Harry Zhou. My research lies in nonparametric and high-dimensional statistics, network analysis, Bayes theory and robust statistics.
 
 
Contact
 
 
Address: 5747 S Ellis Ave, Jones 314, Chicago IL 60637
Email: firstnamelastname@galton.uchicago.edu
 
 
Experience & Service
 
Associate Editor, Electronic Journal of Statistics, Mar 2017 -
Visiting Student at Leiden University (Prof. Aad van der Vaart), Jan 2015 - May 2015
Intern at Microsoft Research Redmond, May 2014 - Aug 2014
Intern at Microsoft Research Redmond, May 2013 - Aug 2013
 
 
Papers
 
- Network Analysis -

 
Testing Network Structure Using Relations Between Small Subgraph Probabilities [arXiv]
C. Gao and J. Lafferty
 
Community Detection in Degree-Corrected Block Models [arXiv]
C. Gao, Z. Ma, A. Zhang and H. Zhou
Annals of Statistics, to appear
 
Achieving Optimal Misclassification Proportion in Stochastic Block Model [arXiv]
C. Gao, Z. Ma, A. Zhang and H. Zhou
Journal of Machine Learning Research, 2017
 
Rate-Optimal Graphon Estimation [arXiv]
C. Gao, Y. Lu and H. Zhou
Annals of Statistics, 2015
 
Optimal Estimation and Completion of Matrices with Biclustering Structures [arXiv]
C. Gao, Y. Lu, Z. Ma and H. Zhou
Journal of Machine Learning Research, 2016
 
- Robust Statistics -

 
Robust Regression via Mutivariate Regression Depth [arXiv]
C. Gao
 
Robust Covariance Matrix Estimation under Huber’s Contamination Model [arXiv]
M. Chen, C. Gao and Z. Ren
Annals of Statistics, to appear
 
A General Decision Theory for Huber's $\epsilon$-Contamination Model [arXiv]
M. Chen, C. Gao and Z. Ren
Electronic Journal of Statistics, to appear
 
- Bayes Theory -

 
A General Framework for Bayes Structured Linear Models [arXiv]
C. Gao, A. van der Vaart and H. Zhou
 
Rate-optimal Posterior Contraction for Sparse PCA [arXiv]
C. Gao and H. Zhou
Annals of Statistics, 2015
 
Rate Exact Bayesian Adaptation with Modified Block Priors [arXiv]
C. Gao and H. Zhou
Annals of Statistics, 2016
 
Bernstein-von Mises Theorems for Functionals of the Covariance Matrix [arXiv]
C. Gao and H. Zhou
Electronic Journal of Statistics, 2016
 
Posterior Contraction Rates of Phylogenetic Indian Buffet Processes [arXiv]
M. Chen, C. Gao and H. Zhao
Bayesian Analysis, 2016
 
- High Dimensional Statistics -

 
Goodness-of-Fit Tests for Random Partitions via Symmetric Polynomials [arXiv]
C. Gao
 
Minimax Risk Bounds for Piecewise Constant Models [arXiv]
C. Gao, F. Han and C-H. Zhang
 
Sparse CCA: Adaptive Estimation and Computational Barriers [arXiv]
C. Gao, Z. Ma and H. Zhou
Annals of Statistics, to appear
 
Minimax Estimation in Sparse Canonical Correlation Analysis [arXiv]
C. Gao, Z. Ma, Z. Ren and H. Zhou
Annals of Statistics, 2015
 
Sparse CCA via Precision Adjusted Iterative Thresholding [arXiv]
M. Chen, C. Gao, Z. Ren and H. Zhou
 
Exact Exponent in Optimal Rates for Crowdsourcing [arXiv]
C. Gao Y.Lu and D. Zhou
ICML, 2016
 
Minimax Optimal Convergence Rates for Estimating Ground Truth from Crowdsourced Labels [arXiv]
C. Gao and D. Zhou
 
- Others -

 
Detecting the Impact Area of BP Deepwater Horizon Oil Discharge: An Analysis by Time Varying Coefficient Logistic Models and Boosted Trees [spinger]
T. Li, C. Gao, M. Xu and B. Rajaratnam
Computational Statistics, 2014 (Winner of 2011 ASA Data Expo)
 
 
Invited Talks
 
Testing Network Structures: The Erdős-Zuckerberg Score
2017 Joint Statistical Meetings, Baltimore, August 2017
 
Testing Network Structures: The Erdős-Zuckerberg Score
INFORMS Applied Probability Society Conference 2017, Chicago, July 2017
 
Testing Network Structures: The Erdős-Zuckerberg Score
2017 ICSA Applied Statistics Symposium, Chicago, June 2017
 
General Frameworks for Bayesian Theory, Modeling and Computation
Seminar at Department of Statistics, University of Wisconsin, March 2017
 
General Frameworks for Bayesian Theory, Modeling and Computation
Research Colloquium at Department of Statistics, Purdue University, February 2017
 
Robust Covariance Matrix Estimation
Math-Stat Seminar at Department of Statistics, Purdue University, February 2017
 
Robust Regression
10th ICSA International Conference, Shanghai, China, December 2016
 
Robust Covariance Matrix Estimation
Seminar at School of Data Science, Fudan University, December 2016
 
Community Detection in Degree-Corrected Block Models
Montreal Probability Seminar, McGill University, December 2016
 
Community Detection in Degree-Corrected Block Models
Seminar at Department of Statistics, UIUC, November 2016
 
Robust Covariance Matrix Estimation
Neyman Seminar at Department of Statistics, UC Berkeley, October 2016
 
A General Framework for Bayes Structured Linear Models
2016 Joint Statistical Meetings, Chicago, August 2016
 
Community Detection in Degree-Corrected Block Models
9th World Congress on Probability and Statistics, Toronto, Canada, July 2016
 
A General Framework for Bayes Structured Linear Models
ICSA Conference on Data Science, Dali, Yunnan, China, July 2016
 
A General Framework for Bayes Structured Linear Models
ISBA 2016 World Meeting, Sardinia, Italy, June 2016
 
Adaptive Graphon Estimation
Network, Random Graphs and Statistics Workshop, Columbia University, May 2016
 
Network Analysis: Community Detection and Graphon Estimation
Radom Structures Seminar, UT Austin, April 2016
 
Robust Covariance Matrix Estimation
Meeting in Mathematical Statistics 2015 -- Recent advances in nonparametric and high-dimensional inference, villa Clythia, France, December 2015
 
A General Framework for Bayes Structured Linear Models
8th International Conference of the ERCIM WG on Computational and Methodological Statistics, London, UK, December 2015
 
Network Analysis: Community Detection and Graphon Estimation
Seminar at Department of Applied Mathematics, Yale University, November 2015
 
Network Analysis: Community Detection and Graphon Estimation
Seminar at Department of Statistics, University of Pittsburgh, November 2015
 
A Bayes framework for Complex Linear Models
Seminar at Department of Statistics, Yale University, October 2015
 
Sparse CCA: Minimax Rates and Adaptive Estimation
Joint 24th ICSA Applied Statistics Symposium and 13th Graybill Conference, Fort Collins, Colorado, June 2015
 
Some Interesting Facts about Bayesian Inference
PhD colloquium at Mathematisch Instituut, Leiden University, the Netherlands, April 2015
 
Network Analysis: Graphon Estimation and Community Detection
Séminaire de Statistique, CREST, Paris, France, March 2015
 
Graphon Estimation: Minimax Rates and Posterior Contraction
Statistics for Structures Seminar, University of Amsterdam and Leiden University, the Netherlands, March 2015
 
Sparse CCA: Statistical and Computational Limits
Seminar at Centre for Mathematical Sciences, University of Cambridge, UK, March 2015